Temporal is an open-source durable execution platform originally derived from Uber's Cadence project. It provides a runtime that guarantees application code executes to completion even in the face of infrastructure failures, network outages, and server crashes. Rather than requiring developers to write custom retry loops, reconciliation logic, and manual state tracking, Temporal automatically captures the full state of every workflow execution, enabling seamless recovery and replay from any point of failure.
The platform embraces a workflow-as-code approach where developers write orchestration logic as ordinary functions in their preferred programming language using native SDKs for Go, Java, Python, TypeScript, .NET, and PHP. Workflows can run for seconds, days, or even months without losing progress. Activities handle interactions with external services and include built-in support for timeouts, retries, and heartbeats. The architecture separates concerns across frontend, history, and matching services backed by durable storage in Cassandra, MySQL, or PostgreSQL.
Temporal is used by enterprises including Netflix, Nvidia, Snap, and Stripe for workloads ranging from financial transactions and order processing to cloud infrastructure deployment and AI model training pipelines. Its Series D funding at a $5 billion valuation underscores growing demand for durable execution in the age of AI agents. Temporal Cloud offers a fully managed serverless option alongside the self-hosted open-source distribution, and the web UI provides detailed visibility into workflow execution history for debugging and monitoring.
